Literature DB >> 12615934

Laser-capture microdissection, a tool for the global analysis of gene expression in specific plant cell types: identification of genes expressed differentially in epidermal cells or vascular tissues of maize.

Mikio Nakazono1, Fang Qiu, Lisa A Borsuk, Patrick S Schnable.   

Abstract

Laser-capture microdissection (LCM) allows for the one-step procurement of large homogeneous populations of cells from tissue sections. In mammals, LCM has been used to conduct cDNA microarray and proteomics studies on specific cell types. However, LCM has not been applied to plant cells, most likely because plant cell walls make it difficult to separate target cells from surrounding cells and because ice crystals can form in the air spaces between cells when preparing frozen sections. By fixing tissues, using a cryoprotectant before freezing, and using an adhesive-coated slide system, it was possible to capture large numbers (>10,000) of epidermal cells and vascular tissues (vascular bundles and bundle sheath cells) from ethanol:acetic acid-fixed coleoptiles of maize. RNA extracted from these cells was amplified with T7 RNA polymerase and used to hybridize a microarray containing approximately 8800 maize cDNAs. Approximately 250 of these were expressed preferentially in epidermal cells or vascular tissues. These results demonstrate that the combination of LCM and microarrays makes it feasible to conduct high-resolution global gene expression analyses of plants. This approach has the potential to enhance our understanding of diverse plant cell type-specific biological processes.

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Year:  2003        PMID: 12615934      PMCID: PMC150015          DOI: 10.1105/tpc.008102

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


  61 in total

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Review 2.  Genomic approaches to plant stress tolerance.

Authors:  J C Cushman; H J Bohnert
Journal:  Curr Opin Plant Biol       Date:  2000-04       Impact factor: 7.834

3.  Quantitative analysis of mRNA amplification by in vitro transcription.

Authors:  L R Baugh; A A Hill; E L Brown; C P Hunter
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4.  From elicitins to lipid-transfer proteins: a new insight in cell signalling involved in plant defence mechanisms.

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Journal:  Trends Plant Sci       Date:  2002-07       Impact factor: 18.313

Review 5.  Carbon flux and fatty acid synthesis in plants.

Authors:  Stephen Rawsthorne
Journal:  Prog Lipid Res       Date:  2002-03       Impact factor: 16.195

6.  Acetyl-CoA carboxylase in higher plants: most plants other than gramineae have both the prokaryotic and the eukaryotic forms of this enzyme.

Authors:  T Konishi; K Shinohara; K Yamada; Y Sasaki
Journal:  Plant Cell Physiol       Date:  1996-03       Impact factor: 4.927

7.  Microarray analysis of developing Arabidopsis seeds.

Authors:  T Girke; J Todd; S Ruuska; J White; C Benning; J Ohlrogge
Journal:  Plant Physiol       Date:  2000-12       Impact factor: 8.340

8.  Functional diversity, conservation, and convergence in the evolution of the alpha-, beta-, and gamma-carbonic anhydrase gene families.

Authors:  D Hewett-Emmett; R E Tashian
Journal:  Mol Phylogenet Evol       Date:  1996-02       Impact factor: 4.286

9.  Molecular cloning and gibberellin-induced expression of multiple cysteine proteinases of rice seeds (oryzains).

Authors:  H Watanabe; K Abe; Y Emori; H Hosoyama; S Arai
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Review 10.  Laser-capture microdissection: opening the microscopic frontier to molecular analysis.

Authors:  N L Simone; R F Bonner; J W Gillespie; M R Emmert-Buck; L A Liotta
Journal:  Trends Genet       Date:  1998-07       Impact factor: 11.639

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  118 in total

1.  Punctate vascular expression1 is a novel maize gene required for leaf pattern formation that functions downstream of the trans-acting small interfering RNA pathway.

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Journal:  Plant Physiol       Date:  2012-06-05       Impact factor: 8.340

Review 2.  Gene expression profiling of plant responses to abiotic stress.

Authors:  Samuel P Hazen; Yajun Wu; Joel A Kreps
Journal:  Funct Integr Genomics       Date:  2003-06-25       Impact factor: 3.410

Review 3.  Methods for transcriptional profiling in plants. Be fruitful and replicate.

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Journal:  Plant Physiol       Date:  2004-06-01       Impact factor: 8.340

4.  Genome-wide identification of regulatory DNA elements and protein-binding footprints using signatures of open chromatin in Arabidopsis.

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Journal:  Plant Cell       Date:  2012-07-05       Impact factor: 11.277

5.  SND1, a NAC domain transcription factor, is a key regulator of secondary wall synthesis in fibers of Arabidopsis.

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Journal:  Plant Cell       Date:  2006-11-17       Impact factor: 11.277

Review 6.  Optimal molecular profiling of tissue and tissue components: defining the best processing and microdissection methods for biomedical applications.

Authors:  G Steven Bova; Isam A Eltoum; John A Kiernan; Gene P Siegal; Andra R Frost; Carolyn J M Best; John W Gillespie; Gloria H Su; Michael R Emmert-Buck
Journal:  Mol Biotechnol       Date:  2005-02       Impact factor: 2.695

Review 7.  High-throughput RNA isolation technologies. New tools for high-resolution gene expression profiling in plant systems.

Authors:  Ji-Young Lee; Mitchell Levesque; Philip N Benfey
Journal:  Plant Physiol       Date:  2005-06       Impact factor: 8.340

8.  Transcriptomic and proteomic analyses of pericycle cells of the maize primary root.

Authors:  Diana Dembinsky; Katrin Woll; Muhammad Saleem; Yan Liu; Yan Fu; Lisa A Borsuk; Tobias Lamkemeyer; Claudia Fladerer; Johannes Madlung; Brad Barbazuk; Alfred Nordheim; Dan Nettleton; Patrick S Schnable; Frank Hochholdinger
Journal:  Plant Physiol       Date:  2007-08-31       Impact factor: 8.340

9.  Novel tissue preparation method and cell-specific marker for laser microdissection of Arabidopsis mature leaf.

Authors:  Noriko Inada; Mary C Wildermuth
Journal:  Planta       Date:  2004-12-02       Impact factor: 4.116

10.  Comparison of maize (Zea mays L.) F1-hybrid and parental inbred line primary root transcriptomes suggests organ-specific patterns of nonadditive gene expression and conserved expression trends.

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Journal:  Genetics       Date:  2008-06-18       Impact factor: 4.562

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